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Why Technology in Learning And Development Requires Heavy Investment

Why Technology in Learning And Development Requires Heavy Investment

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August 11, 2023
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7 min read
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Business organizations are constantly trying to keep up-to-date with current trends, and this includes adopting the latest technology to assist with learning and development. After all, a well-trained workforce is great for business.

L&D tools can be used to train employees, and support them as they learn and grow. It’s a key part of corporate talent management as it helps to keep employees performing to a high standard.

These days, businesses rely on technology to help them train their employees. So, why is L&D so important and why does it need heavy investment? Let’s find out more about software tools that are available and how they can be used.

What is learning & development?

Learning and development (L&D) refers to the process of enhancing employees’ skills, knowledge, and competencies through various educational methods. It involves structured programs and activities designed to improve performance and foster personal and professional growth. L&D is crucial for organizations to stay competitive, adapt to industry changes, and ensure employees are equipped with the latest skills. Effective L&D programs include training sessions, workshops, online courses, and mentorship opportunities, which help in increasing productivity, boosting morale, and promoting innovation within the workforce. Investing in L&D ultimately leads to better employee retention and overall organizational success.

How is technology used in training and development?

Technology is widely used in training and development to enhance the learning experience, both at a school education level and in the workplace. Here are some common ways it’s used:

Different ways technology in learning and development is used

E-learning platforms

E-learning platforms have perhaps become one of the most frequently used ways to learn new information on the computer.

These platforms offer various courses, modules, and resources that learners can access remotely through computers or mobile devices. They can also provide flexibility in terms of time and location, allowing learners to study at their own pace. This can be beneficial for organizations who want employees to participate in some training courses from home.

"Learning and development"

Multimedia tools

Technology provides various multimedia tools:

  • Videos and video games
  • Simulations
  • Interactive modules

These tools engage learners through visual and interactive elements, making the learning experience more dynamic and impactful. This can often be more engaging than staring at a book!

While videos can demonstrate practical skills, simulations allow learners to practice in a safe and controlled environment. That’s why, businesses should look at the game development pipeline to create something that employees can use to learn in a fun and effective way.

Mobile learning

Pretty much everyone owns a smartphone nowadays, and this technology facilitates learning on the go. Mobile learning allows learners to access training materials and resources anytime and anywhere, making learning more convenient and flexible.

Apps and mobile-responsive websites provide bite-sized learning modules, assessments, and interactive content optimized for mobile devices.

Virtual reality and augmented reality

You may have already heard of immersive technologies like virtual reality (VR) and augmented reality (AR). They offer unique training experiences that are still really new in terms of learning tools.

VR creates simulated environments where learners can practice skills or undergo simulations, such as virtual safety drills or medical procedures. AR overlays digital information onto the real world, providing interactive guidance and support during training activities.

This way of learning may be more expensive than e-learning online, because it requires an investment into headsets. Businesses would need to find more money in their L&D budget to use this software.

Also, read: Now in Tech: AI, Assessments, and The Great Over-Correction

Social learning and collaboration tools

Social learning means connecting learners with peers and instructors. This can be in the form of discussion forums, chat features, and video conferencing tools. It enables employees to interact, share knowledge, and collaborate on projects. Social learning fosters a sense of community, encourages peer support, and enhances knowledge exchange.

Data collection and personalization

Another way technology is used in learning and development is to collect and analyze data. It can create personalized learning experiences tailored to individual learner needs and preferences.

These adaptive technologies use learner data to dynamically adjust content, pacing, and assessments, optimizing learning.

What is the relationship between technology and learning?

As we know, technology has significantly transformed the way we acquire knowledge, access information, and engage in the learning process. So, let’s take a look at the relationship between technology and learning.

Relationship between technology and learning

Accessibility and flexibility

Technology has made learning more accessible and flexible than ever before. Online platforms, e-learning modules, and digital resources enable employees to access business materials from anywhere at any time.

This accessibility breaks down barriers related to geographical location, time constraints, and physical limitations, providing opportunities for lifelong learning. There are also various platforms available to suit differing budgets, which makes it more accessible to even more small businesses.

Engagement and interactivity

Learner engagement and interactivity is enhanced with technology. Using multimedia tools, interactive simulations, videos, and gamification elements create immersive and dynamic learning experiences.

Whether it’s learning about new store policies or VoIP auto dialer software, interactive elements capture learners’ attention and promote active participation, resulting in improved knowledge retention and understanding.

learning and development in tech

Personalization and adaptive learning

Adaptive technologies make use of data analytics and algorithms to assess learners’ progress, preferences, and learning styles.

This data-driven approach enables the delivery of more customizable content, pacing, and assessments, tailoring the learning experience to the individual’s needs.

Information and knowledge acquisition

Technology provides instant access to vast amounts of information and knowledge resources. Search engines, online databases, digital libraries, and educational websites enable learners to explore various topics, conduct research, and expand their understanding.

It equips learners with the skills to navigate and evaluate information critically, promoting digital literacy.

Continuous learning and professional development

Advances in tech can assist with lifelong learning and continuous professional development. Online courses, webinars, podcasts, and microlearning modules offer opportunities for individuals to upskill, reskill, and stay updated with industry trends.

This enables professionals to acquire knowledge and skills at their own pace and according to their specific needs.

Also, read: Upskilling and Reskilling: Ready to Future-Proof Your Workforce?

How to use technology for teaching and learning?

Technology can be used for teaching and learning, but it does require heavy investment to get the best options available. Here are some key considerations for effective utilization of technology:

How to use technology for teaching and learning

Aligned with teaching

Technology should be aligned with teaching principles and learning objectives. It should genuinely be helpful to the subject matter, such as teaching employees about ML solutions using computers. Businesses should carefully select technology tools and platforms that align with their methods and the desired outcomes.

Blended learning approach

Incorporating a blended learning approach combines traditional face-to-face instruction with online and technology-enabled activities. This approach allows for a balanced integration of technology and in-person interactions, leveraging the benefits of both. It may also be more cost-effective for businesses. You can use technology for delivering content to engage learners in interactive activities, and encourage collaboration.

Active and engaging learning

Technology can promote active and engaging learning experiences. Businesses should make the most of all tools that could capture people’s attention and make learning fun, not boring. Encouraging learners to actively participate, reflect, and apply their knowledge through technology-based activities promotes deeper understanding and knowledge retention.

Personalization and differentiation

You can create personalized learning experiences to cater to individual learner needs, interests, and abilities with software. Some technologies can analyze learner data and provide tailored content, pacing, and assessments.

Collaboration and communication

Technology tools and platforms encourage collaboration and communication among colleagues, instructors, and peers. Forums, online chat features, video conferencing, and collaborative document editing platforms are there to allow people to connect, share ideas, and engage in group projects. Businesses should offer a collaborative learning environment where learners can actively participate and exchange knowledge and perspectives.

Continuous professional development

Technology plays a crucial role in supporting an employee’s professional development. Once hired, they can continue to learn about their job by making use of e-learning software. Online resources, webinars, virtual conferences, and professional learning communities provide opportunities for companies to enhance their learning strategies.

Data-informed decision making

You can use valuable data and analytics on learner progress, engagement, and performance, to make data-informed decisions to enhance teaching and learning experiences and improve operational efficiency. Utilize data analytics to gain insights into learner needs, identify areas for improvement, and make data-informed decisions to enhance teaching and learning experiences.

Types of learning development tools

There are many types of learning development tools that businesses use to keep employees up to date with their job role. Here are some of the most used learning development tools:

1. Video training software

Using video software can be an easy and effective way to educate employees about the job. Managers can create and share videos with staff members to train them on a particular topic such as how to use the new computer system, or just for general annual training updates.

It helps L&D teams to educate employees in a cost-effective way.

2. Knowledge sharing tools

Knowledge sharing tools can allow businesses to distribute important company information. This can be assets such as the company manual or training guides.

By consolidating all manuals and guides in one place, it acts as a resource for employees to revisit any time they feel like they might need to brush up on their training. They have continued access to learning materials while at work.

3. Learning management systems (LMS)

Some business learning management systems utilize e-learning platforms. These are created to help businesses keep track of employee training progress and oversee development programs. Implementing such systems in corporate organizations can assist in compliance training and the employee onboarding process.

Features of LMS

Additionally, LMS platforms often provide features for content creation, assessment management, reporting, and maintenance, ensuring that the learning materials and courses are up-to-date and easily accessible to learners.

Why should we invest more in learning and development technology?

Investing more in learning and development technology is crucial for unlocking the full potential of employee training and professional development.

As we’ve seen, L&D technology enhances engagement, improves knowledge retention, and creates proficiency, leading to improved learning outcomes and skill acquisition. Plus, it enables learning opportunities, which can be great for businesses who employ staff all across the world.

While there may be upfront costs, investing in technology leads to long-term cost savings through the elimination of physical materials and reduced travel expenses.

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August 11, 2023
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7 min read
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A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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